AI&Creativity: Style Transfer (and you can do it as well)
Popularization of Artificial Intelligence
As previously mentioned, the year 2018 is a milestone for popularity and accessibility of open source Artificial Intelligence applications. Previously you also could install the TensorFlow based solutions on your system, with appropriate know-how and programming skills.
Google Colaboratory helps with online “Nootbooks”, interactive installations of AI applications: AI researchers provides the application code with own comments, explanations and possibility to run and change the code.
It’s a perfect edut-AI-nment!
So for example Alex Mordvintsev, developer of Google Deep Dream, along with other AI researchers demonstrate various fascinating notebooks on topic of “Differentiable Image Parameterization”.
Transfer the style
In this experiment the Deep Learned systems examine two source images — and transfer their style. Not only colors, but also the shapes and patterns. You can find and play around with this experiment here.
Already default image demonstration is very convincing.
As a initial style source is used a painting by Van Gogh:
